In the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. This leads to the multi-criteria evaluation of a project. The advantage of multi-criteria methods is the ability to take into account all (not only financial) aspects of the attractiveness of an investment project. The selection of criteria of project assessment must take into account the specificity of organization that makes a decision. Along with traditional method this paper introduces new approach for risk assessment based on each criterion characterizing the investment project on hydrocarbon resources exploitation.

One of the difficulties of Data Envelopment Analysis(DEA) is the problem of deciency discriminationamong efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficientones. The main purpose of this paper is to overcome this inability. One of the methods for rankingefficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights. In this paper,it is introduced a nonlinear model for ranking efficient DMUs based on the minimizing the mean absolutedeviation of weights and then we convert the nonlinear model proposed into a linear programming form.

In this paper, a new method to review the role of wind units as an energy-producer in the scheduling problem of unit commitment is presented. Today, renewable energy sources due to lack of environmental pollution, absence of dependence on fossil fuels, and consequently a very low marginal cost, have been receiving considerable attention in power system. But these sources are associated with uncertainty, solving unit commitment problem as a traditional power system optimization program that attempts to determine optimal entry and exit units and optimal production per unit minimizes the total cost of production. Then, in this study using an iterative algorithm randomly with allocation of probability density functions fits the wind speed, Uncertainty of production wind units has been modeled in the unit commitment program. Economic Analysis of UC with wind power is performed in order to minimize total system cost. In this paper to achieve the optimum solution, a meta-heuristic Cuckoo search (CS) algorithm with high convergence speed is used to solve the unit commitment problem considering IEEE standard 10 unit test system. The simulations results show the effectiveness of the proposed method for reducing production costs and improving load profiles.

In the paper an attempt was made to study the performance of Indian Banks with the help of CAMEL(C-Capital Adequacy, A- Asset Quality, M- Management Quality, E-Earnings, L-Liquidity i.e. CAMEL) rating system, over the period of five years from (2011 to 2015) and then evaluated out the efficiency of banks with the help of GRA (Grey Relation Analysis) technique there by gaining confidence from investors and ranking them accordingly. The paper studied the influence of the degree of every performance factors through grey relational analysis and there by ranked the performance of every bank. The result thus obtained is compared with that of the Ranks obtained by CAMEL method. The research finding suggests that some banks are in advantage situation and thereby hinting at the possibility of further improvisation. Banks show marked consistency in their efficiency level during the period under study

In This paper a hybrid DEA method consisting of four phases for assigning the financial efficiency of commercial banks in India is used. This paper is based on panel data of banks for the period from 2011 to 2015. The DEA analysis based on hybrid method of DEA AND TOPSIS is used for ranking efficient Decision Making Units(DMUs) in Data Envelopment Analysis (DEA). However, since each of these methods considers a certain theory for ranking, there may exist different ranks. In practice, choosing a ranking method, the results of which the Decision Maker (DM) would be able to trust is an important issue.

The rapid development of Internet and electronic businesses have stimulated the banking sector towards encouraging customers to internet banking (IB), However, the evidence indicates a lack of interest in the use of IB services. Therefore, this paper aims to identify affecting factors on customer adoption from IB and measure the influence of each factor on IB adoption. Based on an explorative literature review, numbers of factors were considered as affecting factors on customer adoption of IB. Then, these factors were sent to a sample of IB customers in form of a questionnaire. Having collected the filled questionnaires and based on a statistical test, the more important factors explored among all. Hence, many of these factors have relationship with each others; a graph theory based technique (DEMATEL) with feedback structure is used to explore the direct and indirect effects of factors on the other factors and the whole system. The results indicate that: responsiveness (effective handling of problems), accessibility to IB services (hardware necessities), speed of network, ease of use and no need to physical attendance in bank branch, respectively, are the most critical factors.